@article{BrendelMatznerMenzel2021, author = {Brendel, Nina and Matzner, Nils and Menzel, Max-Peter}, title = {Geographisches Gezwitscher - Analyse von Twitter-Daten als Methode im GW-Unterricht}, series = {GW-Unterricht}, journal = {GW-Unterricht}, publisher = {Verlag der {\"O}sterreichischen Akademie der Wissenschaften}, address = {Wien}, issn = {2414-4169}, doi = {10.1553/gw-unterricht164s72}, pages = {72 -- 85}, year = {2021}, abstract = {Soziale Medien sind ein wesentlicher Bestandteil des Alltags von Sch{\"u}ler*innen und gleichzeitig zunehmend wichtig in Wirtschaft, Politik und Wissenschaft. Am Beispiel von Twitter zeigt dieser Beitrag, dass soziale Medien im Unterricht auch f{\"u}r die Beantwortung geographischer Fragestellungen verwendet werden k{\"o}nnen. Hierf{\"u}r eignen sich Twitter-Daten aufgrund ihrer Georeferenzierung und weiterer interessanter Inhalte besonders. Der Beitrag gibt einen {\"U}berblick {\"u}ber die Verwendung von Twitter f{\"u}r sozialwissenschaftliche und humangeographische Fragestellungen und reflektiert die Nutzung von Twitter im Unterricht. F{\"u}r die Unterrichtspraxis werden Beispiele zu den Themen Braunkohle, Flutereignisse und Raumwahrnehmungen sowie Anleitungen zur Auswertung, Anwendung und Reflexion von Twitter-Analysen vorgestellt.}, language = {de} } @article{ThonigDelRioKieferetal.2020, author = {Thonig, Richard and Del Rio, Pablo and Kiefer, Christoph and Lazaro Touza, Lara and Escribano, Gonzalo and Lechon, Yolanda and Spaeth, Leonhard and Wolf, Ingo and Lilliestam, Johan}, title = {Does ideology influence the ambition level of climate and renewable energy policy?}, series = {Energy sources, part B: economics, planning, and policy}, volume = {16}, journal = {Energy sources, part B: economics, planning, and policy}, number = {1}, publisher = {Taylor \& Francis Group}, address = {Philadelphia}, issn = {1556-7249}, doi = {10.1080/15567249.2020.1811806}, pages = {4 -- 22}, year = {2020}, abstract = {We investigate whether political ideology has an observable effect on decarbonization ambition, renewable power aims, and preferences for power system balancing technologies in four European countries. Based on the Energy Logics framework, we identify ideologically different transition strategies (state-centered, market-centered, grassroots-centered) contained in government policies and opposition party programs valid in 2019. We compare these policies and programs with citizen poll data. We find that ideology has a small effect: governments and political parties across the spectrum have similar, and relatively ambitious, decarbonization and renewables targets. This mirrors citizens' strong support for ambitious action regardless of their ideological self-description. However, whereas political positions on phasing out fossil fuel power are clear across the policy space, positions on phasing in new flexibility options to balance intermittent renewables are vague or non-existent. As parties and citizens agree on strong climate and renewable power aims, the policy ambition is likely to remain high, even if governments change.}, language = {en} } @article{SteinfathGaertnerLisecetal.2009, author = {Steinfath, Matthias and G{\"a}rtner, Tanja and Lisec, Jan and Meyer, Rhonda Christiane and Altmann, Thomas and Willmitzer, Lothar and Selbig, Joachim}, title = {Prediction of hybrid biomass in Arabidopsis thaliana by selected parental SNP and metabolic markers}, series = {Theoretical and applied genetics : TAG ; international journal of plant breeding research}, volume = {120}, journal = {Theoretical and applied genetics : TAG ; international journal of plant breeding research}, publisher = {Springer}, address = {Berlin}, issn = {0040-5752}, doi = {10.1007/s00122-009-1191-2}, pages = {239 -- 247}, year = {2009}, abstract = {A recombinant inbred line (RIL) population, derived from two Arabidopsis thaliana accessions, and the corresponding testcrosses with these two original accessions were used for the development and validation of machine learning models to predict the biomass of hybrids. Genetic and metabolic information of the RILs served as predictors. Feature selection reduced the number of variables (genetic and metabolic markers) in the models by more than 80\% without impairing the predictive power. Thus, potential biomarkers have been revealed. Metabolites were shown to bear information on inherited macroscopic phenotypes. This proof of concept could be interesting for breeders. The example population exhibits substantial mid-parent biomass heterosis. The results of feature selection could therefore be used to shed light on the origin of heterosis. In this respect, mainly dominance effects were detected.}, language = {en} } @article{Boehm2021, author = {B{\"o}hm, Otto}, title = {Replik auf Felix Br{\"o}nners Beitrag im MRM - MenschenRechtsMagazin Heft 1/2 2019 „Koloniale Kontinuit{\"a}ten im Menschenrechtsdiskurs" S. 24 - 37 (Teil 2)}, series = {MenschenRechtsMagazin : MRM ; Informationen, Meinungen, Analysen}, volume = {26}, journal = {MenschenRechtsMagazin : MRM ; Informationen, Meinungen, Analysen}, number = {2}, publisher = {Universit{\"a}tsverlag Potsdam}, address = {Potsdam}, issn = {1434-2820}, doi = {10.25932/publishup-56917}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-569171}, pages = {123 -- 131}, year = {2021}, language = {de} } @article{SmithZottaBoultonetal.2023, author = {Smith, Taylor and Zotta, Ruxandra-Maria and Boulton, Chris A. and Lenton, Timothy M. and Dorigo, Wouter and Boers, Niklas}, title = {Reliability of resilience estimation based on multi-instrument time series}, series = {Earth System Dynamics}, volume = {14}, journal = {Earth System Dynamics}, publisher = {Copernicus Publications}, address = {G{\"o}ttingen}, issn = {2190-4987}, doi = {10.5194/esd-14-173-2023}, pages = {173 -- 183}, year = {2023}, abstract = {Many widely used observational data sets are comprised of several overlapping instrument records. While data inter-calibration techniques often yield continuous and reliable data for trend analysis, less attention is generally paid to maintaining higher-order statistics such as variance and autocorrelation. A growing body of work uses these metrics to quantify the stability or resilience of a system under study and potentially to anticipate an approaching critical transition in the system. Exploring the degree to which changes in resilience indicators such as the variance or autocorrelation can be attributed to non-stationary characteristics of the measurement process - rather than actual changes in the dynamical properties of the system - is important in this context. In this work we use both synthetic and empirical data to explore how changes in the noise structure of a data set are propagated into the commonly used resilience metrics lag-one autocorrelation and variance. We focus on examples from remotely sensed vegetation indicators such as vegetation optical depth and the normalized difference vegetation index from different satellite sources. We find that time series resulting from mixing signals from sensors with varied uncertainties and covering overlapping time spans can lead to biases in inferred resilience changes. These biases are typically more pronounced when resilience metrics are aggregated (for example, by land-cover type or region), whereas estimates for individual time series remain reliable at reasonable sensor signal-to-noise ratios. Our work provides guidelines for the treatment and aggregation of multi-instrument data in studies of critical transitions and resilience.}, language = {en} } @article{PueschelKlauderHenkelOberlaender2022, author = {P{\"u}schel, Gerhard and Klauder, Julia and Henkel-Oberl{\"a}nder, Janin}, title = {Macrophages, low-grade inflammation, insulin resistance and hyperinsulinemia}, series = {Journal of Clinical Medicine : open access journal}, volume = {11}, journal = {Journal of Clinical Medicine : open access journal}, number = {15}, publisher = {MDPI}, address = {Basel, Schweiz}, issn = {2077-0383}, doi = {10.3390/jcm11154358}, pages = {1 -- 30}, year = {2022}, abstract = {Metabolic derangement with poor glycemic control accompanying overweight and obesity is associated with chronic low-grade inflammation and hyperinsulinemia. Macrophages, which present a very heterogeneous population of cells, play a key role in the maintenance of normal tissue homeostasis, but functional alterations in the resident macrophage pool as well as newly recruited monocyte-derived macrophages are important drivers in the development of low-grade inflammation. While metabolic dysfunction, insulin resistance and tissue damage may trigger or advance pro-inflammatory responses in macrophages, the inflammation itself contributes to the development of insulin resistance and the resulting hyperinsulinemia. Macrophages express insulin receptors whose downstream signaling networks share a number of knots with the signaling pathways of pattern recognition and cytokine receptors, which shape macrophage polarity. The shared knots allow insulin to enhance or attenuate both pro-inflammatory and anti-inflammatory macrophage responses. This supposedly physiological function may be impaired by hyperinsulinemia or insulin resistance in macrophages. This review discusses the mutual ambiguous relationship of low-grade inflammation, insulin resistance, hyperinsulinemia and the insulin-dependent modulation of macrophage activity with a focus on adipose tissue and liver.}, language = {en} } @article{AgnePreickStraubeetal.2022, author = {Agne, Stefanie and Preick, Michaela and Straube, Nicolas and Hofreiter, Michael}, title = {Simultaneous Barcode Sequencing of Diverse Museum Collection Specimens Using a Mixed RNA Bait Set}, series = {Frontiers in Ecology and Evolution}, volume = {10}, journal = {Frontiers in Ecology and Evolution}, publisher = {Frontiers Media S.A.}, address = {Lausanne, Schweiz}, issn = {2296-701X}, doi = {10.3389/fevo.2022.909846}, pages = {5}, year = {2022}, abstract = {A growing number of publications presenting results from sequencing natural history collection specimens reflect the importance of DNA sequence information from such samples. Ancient DNA extraction and library preparation methods in combination with target gene capture are a way of unlocking archival DNA, including from formalin-fixed wet-collection material. Here we report on an experiment, in which we used an RNA bait set containing baits from a wide taxonomic range of species for DNA hybridisation capture of nuclear and mitochondrial targets for analysing natural history collection specimens. The bait set used consists of 2,492 mitochondrial and 530 nuclear RNA baits and comprises specific barcode loci of diverse animal groups including both invertebrates and vertebrates. The baits allowed to capture DNA sequence information of target barcode loci from 84\% of the 37 samples tested, with nuclear markers being captured more frequently and consensus sequences of these being more complete compared to mitochondrial markers. Samples from dry material had a higher rate of success than wet-collection specimens, although target sequence information could be captured from 50\% of formalin-fixed samples. Our study illustrates how efforts to obtain barcode sequence information from natural history collection specimens may be combined and are a way of implementing barcoding inventories of scientific collection material.}, language = {en} } @article{ZuehlkeMeilingRoderetal.2021, author = {Z{\"u}hlke, Martin and Meiling, Till Thomas and Roder, Phillip and Riebe, Daniel and Beitz, Toralf and Bald, Ilko and L{\"o}hmannsr{\"o}ben, Hans-Gerd and Janßen, Traute and Erhard, Marcel and Repp, Alexander}, title = {Photodynamic inactivation of E. coli bacteria via carbon nanodots}, series = {ACS omega / American Chemical Society}, volume = {6}, journal = {ACS omega / American Chemical Society}, number = {37}, publisher = {ACS Publications}, address = {Washington, DC}, issn = {2470-1343}, doi = {10.1021/acsomega.1c01700}, pages = {23742 -- 23749}, year = {2021}, abstract = {The increasing development of antibiotic resistance in bacteria has been a major problem for years, both in human and veterinary medicine. Prophylactic measures, such as the use of vaccines, are of great importance in reducing the use of antibiotics in livestock. These vaccines are mainly produced based on formaldehyde inactivation. However, the latter damages the recognition elements of the bacterial proteins and thus could reduce the immune response in the animal. An alternative inactivation method developed in this work is based on gentle photodynamic inactivation using carbon nanodots (CNDs) at excitation wavelengths λex > 290 nm. The photodynamic inactivation was characterized on the nonvirulent laboratory strain Escherichia coli K12 using synthesized CNDs. For a gentle inactivation, the CNDs must be absorbed into the cytoplasm of the E. coli cell. Thus, the inactivation through photoinduced formation of reactive oxygen species only takes place inside the bacterium, which means that the outer membrane is neither damaged nor altered. The loading of the CNDs into E. coli was examined using fluorescence microscopy. Complete loading of the bacterial cells could be achieved in less than 10 min. These studies revealed a reversible uptake process allowing the recovery and reuse of the CNDs after irradiation and before the administration of the vaccine. The success of photodynamic inactivation was verified by viability assays on agar. In a homemade flow photoreactor, the fastest successful irradiation of the bacteria could be carried out in 34 s. Therefore, the photodynamic inactivation based on CNDs is very effective. The membrane integrity of the bacteria after irradiation was verified by slide agglutination and atomic force microscopy. The method developed for the laboratory strain E. coli K12 could then be successfully applied to the important avian pathogens Bordetella avium and Ornithobacterium rhinotracheale to aid the development of novel vaccines.}, language = {en} } @article{JonesGonzalezFortesConnelletal.2015, author = {Jones, Eppie R. and Gonz{\´a}lez-Fortes, Gloria M. and Connell, Sarah and Siska, Veronika and Eriksson, Anders and Martiniano, Rui and McLaughlin, Russell L. and Llorente, Marcos Gallego and Cassidy, Lara M. and Gamba, Cristina and Meshveliani, Tengiz and Bar-Yosef, Ofer and Mueller, Werner and Belfer-Cohen, Anna and Matskevich, Zinovi and Jakeli, Nino and Higham, Thomas F. G. and Currat, Mathias and Lordkipanidze, David and Hofreiter, Michael and Manica, Andrea and Pinhasi, Ron and Bradley, Daniel G.}, title = {Upper Palaeolithic genomes reveal deep roots of modern Eurasians}, series = {Nature Communications}, volume = {6}, journal = {Nature Communications}, publisher = {Nature Publishing Group}, address = {London}, issn = {2041-1723}, doi = {10.1038/ncomms9912}, pages = {8}, year = {2015}, abstract = {We extend the scope of European palaeogenomics by sequencing the genomes of Late Upper Palaeolithic (13,300 years old, 1.4-fold coverage) and Mesolithic (9,700 years old, 15.4-fold) males from western Georgia in the Caucasus and a Late Upper Palaeolithic (13,700 years old, 9.5-fold) male from Switzerland. While we detect Late Palaeolithic-Mesolithic genomic continuity in both regions, we find that Caucasus hunter-gatherers (CHG) belong to a distinct ancient clade that split from western hunter-gatherers similar to 45 kya, shortly after the expansion of anatomically modern humans into Europe and from the ancestors of Neolithic farmers similar to 25 kya, around the Last Glacial Maximum. CHG genomes significantly contributed to the Yamnaya steppe herders who migrated into Europe similar to 3,000 BC, supporting a formative Caucasus influence on this important Early Bronze age culture. CHG left their imprint on modern populations from the Caucasus and also central and south Asia possibly marking the arrival of Indo-Aryan languages.}, language = {en} } @article{BarthWeingartenOgden2021, author = {Barth-Weingarten, Dagmar and Ogden, Richard}, title = {"Chunking" spoken language}, series = {Open linguistics}, volume = {7}, journal = {Open linguistics}, number = {1}, publisher = {De Gruyter}, address = {Berlin}, issn = {2300-9969}, doi = {10.1515/opli-2020-0173}, pages = {531 -- 548}, year = {2021}, abstract = {In this introductory paper to the special issue on "Weak cesuras in talk-in-interaction", we aim to guide the reader into current work on the "chunking" of naturally occurring talk. It is conducted in the methodological frameworks of Conversation Analysis and Interactional Linguistics - two approaches that consider the interactional aspect of humans talking with each other to be a crucial starting point for its analysis. In doing so, we will (1) lay out the background of this special issue (what is problematic about "chunking" talk-in-interaction, the characteristics of the methodological approach chosen by the contributors, the cesura model), (2) highlight what can be gained from such a revised understanding of "chunking" in talk-in-interaction by referring to previous work with this model as well as the findings of the contributions to this special issue, and (3) indicate further directions such work could take starting from papers in this special issue. We hope to induce a fruitful exchange on the phenomena discussed, across methodological divides.}, language = {en} }